Abstract
The modelling of unsteady open channel flow, which is an important area in fluvial engineering, involves a complicated heuristic decision-making process. Numerical modelling is an economical and powerful technique being widely used nowadays. However, engineers usually face many obstacles in the application of conventional numerical software, due to the complex process of the task definition, model calibration and result evaluation involved. Expert system, an active subject of artificial intelligence, is suitable to treat the above engineering problem. This paper describes the methodology of knowledge acquisition and representation for fluvial hydrodynamics, which play a key role in the development of a practical knowledge based system. The experience gained through the knowledge acquisition process in this project is discussed. The construction of the knowledge bases for the development of a microcomputer-based expert system for unsteady open channel flow in a river network is also presented.
| Original language | English |
|---|---|
| Pages (from-to) | 221-237 |
| Number of pages | 17 |
| Journal | Journal of Intelligent Systems |
| Volume | 6 |
| Issue number | 3-4 |
| DOIs | |
| Publication status | Published - 1 Jan 1996 |
Keywords
- Expert system
- Knowledge acquisition
- Knowledge representation
- Open channel
- River network
- Unsteady flow
ASJC Scopus subject areas
- Software
- Information Systems
- Artificial Intelligence